Awais Naeem

I have spent 8 years at the intersection of data, AI, and the question nobody wants to ask “does it actually deliver results?” From forecasting systems to LLM pipelines and autonomous multi-agent systems built for real world problems where off-the-shelf solutions fail. The tools change with every project. The bar doesn't. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 𝗠𝗟 & 𝗗𝗮𝘁𝗮: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, pandas, NumPy 𝗟𝗟𝗠 & 𝗡𝗟𝗣: OpenAI, Claude, Gemini, LLaMA, Mistral, HuggingFace 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: LangChain, LangGraph, RAG, n8n, Make 𝗖𝗹𝗼𝘂𝗱 & 𝗔𝗽𝗽𝘀: AWS, Docker, FastAPI, Flask, React, Next.js, Streamlit 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, FAISS, ChromaDB 𝗦𝗮𝗺𝗽𝗹𝗲 𝗪𝗼𝗿𝗸 • Built an AI hiring pipeline, reducing HR workload by 80%. • Developed real-time AI voice agents and telemedicine platforms. • Created pharma forecasting models processing 3M+ records with R²=0.90. • Built demand, crypto, and used-car price prediction models. • Developed LLM pipelines for sentiment analysis, survey insights and data enrichment. • Created classification and regression models, including an 86% accurate diabetes detection system. I work with startups building their first AI product, enterprises with complex data problems and individuals with unique challenges nobody else wants to touch. If the problem is hard and the data is messy that's exactly where I do my best work. Send me a message and let's figure out if I'm the right fit. I will tell you within 24 hours whether I can help and how.